Tracking the gradients using the Hessian: A new look at variance
reducing stochastic methods

Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods

20 October 2017

Robert Mansel Gower

Nicolas Le Roux

Francis R. Bach

Papers citing "Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods"

6 / 6 papers shown

Title
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches Michal Derezinski 65 6 0 06 Jun 2022
Curvature-aided Incremental Aggregated Gradient Method Hoi-To Wai Wei Shi A. Nedić Anna Scaglione 28 11 0 24 Oct 2017
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields Mark Schmidt Reza Babanezhad Mohamed Osama Ahmed Aaron Defazio Ann Clifton Anoop Sarkar 64 83 0 16 Apr 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 105 1,817 0 01 Jul 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 245 1,246 0 10 Sep 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 112 1,031 0 10 Sep 2012

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